GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York
About this role
Goldman Sachs Electronic Market Making – Software Engineer – Vice President – New York
The Electronic Market Making (EMM) group is embarking on a major, multi-phase ETF initiative. As part of this effort, we are seeking a senior-level engineer to architect and build the foundational trading infrastructure that will power this new business line. This is a high-impact, self-directed role with no distinction between research and production environments.
We are a small team that demands a high level of ownership and accountability from each contributor, while strongly emphasizing collaboration and transparency. Engineers on the team are deeply involved in both software and strategy development. We are seeking a dedicated and ambitious engineer who thrives in a challenging environment and wants to make a meaningful impact at the firm.
Basic Qualifications
- Bachelor's or Master's degree in a STEM discipline (Computer Science, Physics, Mathematics, or Engineering preferred) with 5 to 10 years of experience developing software architecture in C/C++
- Expert-level proficiency in C++ is mandatory — candidates whose experience is primarily in Java, managed languages, or cloud-native tooling will not be considered
- Proven track record of architecting and building high-performance trading systems and data infrastructure from scratch, including custom, bespoke solutions rather than reliance on off-the-shelf libraries or pre-packaged cloud tools
- Strong low-level system design capabilities, including memory management, concurrency, and performance optimization
- Demonstrates consistent quality in a fast-paced environment with quick turnaround from testing to production implementation
- Highly conscientious in maintaining operational robustness while evolving and upgrading current architecture to support future phases (e.g., international ETF expansion)
- Thrives in a collaborative setting where ideas are openly discussed and challenged
- Candidates are expected to take an active interest in shaping strategy decisions beyond technical implementation
Preferred Qualifications
- Background in Telecom, Physics research, or Mathematics research environments where low-level, high-performance system engineering is the norm
- Experience building and maintaining high-performance research infrastructure for very large data inputs
- Experience optimizing high-volume, low-latency trading components
- Familiarity with statistics and data-science methodologies
- Familiarity with Python and data-science packages (e.g., numpy, scikit-learn)
Salary Range
The expected base salary for this New York, NY, United States-based position is $150000-$300000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
Company at a glance
We aspire to be the world’s most exceptional financial institution, united by our shared values of partnership, client service, integrity, and excellence.
Operating at the center of capital markets, we act as one firm, mobilizing our people, capital, and ideas to deliver superior results across our clients’ most complex challenges.
For 157 years, Goldman Sachs has delivered world-class execution on a global scale across our leading Global Banking & Markets and Asset & Wealth Management businesses.
Apprenticeship is central to our culture, with hands-on coaching and access to leaders who bring decades of experience and expertise. With office locations around the world, we offer a broad range of career opportunities to those who insist on excellence and thrive on performance.
Find our Social Media Disclosures here: gs.com/social-media-disclosures
Top Benefits
- Competitive benefits
- Wellness offerings
- Discretionary bonus
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